Bioinformatician

Organization
The Translational Genomics Research Institute
Job Location
Phoenix, AZ 85004
Job Description

The Bioinformatician will work on multiple projects analyzing cancer genome sequencing data from next generation sequencing technologies for assisting in clinical decision-making. The applicant will be involved in NGS data analysis and interpretation, and clinical genomics knowledge mining and content derivation. Applying existing tools, informatics resources, and developing new informatics/software resources, automating/optimizing/customizing repetitive bioinformatics tasks/workflows, implementing research specific novel analysis approaches and computational methods, developing/building professional quality reusable software/informatics resources for medium to large scale bioinformatics projects, and leverage prior experience and domain knowledge to improve existing methods to expedite and facilitate the data analysis and knowledge discovery process.

Implementation, application, maintenance, customization of available/known informatics resources and scientific software/data sources in multiple programming languages/platforms for research support. Developing front-ends for other analysis tools, visualization/compilation of results, facilitating generally defined routine data processing/migration/organization/management tasks, and building project specific workflows implementing automated analysis steps.

Investigation, customization, prototyping for new bioinformatics resources and scientific software for biomedical data processing. Requires skills in multiple programming languages, databases, computational methods, scientific computing, large scale data analysis, and heterogeneous biomedical data from multiple sources. Using software engineering skills towards creating reusable, modular, tested, version-controlled, shared repository oriented, professional quality informatics/software/database resources.

Designing, prototyping, evaluating innovative computational algorithms, data analysis, and statistical methods for biomedical data processing, interpretation and knowledge mining of data, computational algorithms, databases, scientific computing, large-scale data analysis.

Suggesting/exploring alternative/multiple data processing approaches.

Following scientific literature/manuscripts, investigating new biomedical data processing methods, trends, technologies, and paradigms relevant to biomedical informatics, providing feedback towards scientific findings and contributing towards manuscripts/grants/research proposals and research planning. Attending/contributing to/presenting at internal/external scientific meetings/conferences.

Managing multiple bioinformatics collaborations/projects, mentoring junior staff. Strategic planning, organization, management, organization, utilization, optimization of existing and future bioinformatics resources, skills, and needs. Interacting with PIs, researchers and other bioinformaticians towards aligning/guiding the bioinformatics activities to maximize organization's competitive advantage in biomedical research. Interacting with other research divisions, computing infrastructure staff, outside academic/industrial partners.

Requirements

Bachelor's Degree and at least one year job-related experience is minimally required.

Bachelors/Master’s Degree in Bioinformatics/Computer Science/Bioengineering/Computational

Biology or related field.

Experience in academic/industrial applied research environment in biomedical data analysis.

Experience in software development in multiple programming languages, such as Perl/C++/C/Python/Java, and derivatives.

Experience in downloading/learning/applying software and database resources for custom analysis and building workflows.

Experience with Linux/UNIX/Mac OS X based systems and developing shell scripts/command-line interface.

Formal training/experience in analyzing gene expression, genotyping, sequencing, CGH, phylogeny, proteomics, or in specific field needed by the duties, and various biomedical databases.

Experience with scientific computing and data visualization tools, such as MATLAB, R, etc., and understanding of basic statistics.

Excellent communication skills and strong drive to interact with researchers carrying out cutting-edge biomedical research.

Experience in software engineering, such as version control (CVS/SVN), backup, documentation, testing, validation.

Familiarity with large-scale data analysis and utilization of high-performance computing systems, parallel programming.

Ability to understand and implement computational algorithms, statistical analysis methods, custom data analysis software.

How to Apply

If you are interested in seeing the most up to date job listings or to apply for a position, please go to https://www.tgen.org/about/[email protected] and submit your resume for this position. Please take a moment to read about our employee benefits and learn more about TGen. If you have any questions about the company or how to post for a position, please contact [email protected].

 Please apply to all the jobs you are interested in. Only resumes submitted through the TGen career website will be considered.

We value and support diversity in our workforce.

EEO/AA

About Our Organization

The Translational Genomics Research Institute (TGen) is a Phoenix, Arizona-based non-profit organization dedicated to conducting groundbreaking research with life changing results. TGen is focused on helping patients with cancer, neurological disorders and diabetes, through cutting edge translational research (the process of rapidly moving research towards patient benefit).  TGen physicians and scientists work to unravel the genetic components of both common and rare complex diseases in adults and children. Working with collaborators in the scientific and medical communities literally worldwide, TGen makes a substantial contribution to help our patients through efficiency and effectiveness of the translational process. For more information, visit: www.tgen.org.

A research duo finds that science and technology graduate students who turn away from academic careers do so because of changes in their own interests.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.

Gladys Kong writes at Fortune that her STEM background has helped her as a CEO.